1 files changed, 66 insertions, 0 deletions

diff --git a/g4f/Provider/nexra/NexraAnimagineXL.py b/g4f/Provider/nexra/NexraAnimagineXL.py
new file mode 100644
index 00000000..d6fbc629
--- /dev/null
+++ b/g4f/Provider/nexra/NexraAnimagineXL.py
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+from __future__ import annotations
+
+from aiohttp import ClientSession
+import json
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ...image import ImageResponse
+
+
+class NexraAnimagineXL(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "Nexra Animagine XL"
+    url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
+    api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
+    working = True
+
+    default_model = 'animagine-xl'
+    models = [default_model]
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        return cls.default_model
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        response: str = "url",  # base64 or url
+        **kwargs
+    ) -> AsyncResult:
+        # Retrieve the correct model to use
+        model = cls.get_model(model)
+
+        # Format the prompt from the messages
+        prompt = messages[0]['content']
+
+        headers = {
+            "Content-Type": "application/json"
+        }
+        payload = {
+            "prompt": prompt,
+            "model": model,
+            "response": response
+        }
+
+        async with ClientSession(headers=headers) as session:
+            async with session.post(cls.api_endpoint, json=payload, proxy=proxy) as response:
+                response.raise_for_status()
+                text_data = await response.text()
+
+                try:
+                    # Parse the JSON response
+                    json_start = text_data.find('{')
+                    json_data = text_data[json_start:]
+                    data = json.loads(json_data)
+                    
+                    # Check if the response contains images
+                    if 'images' in data and len(data['images']) > 0:
+                        image_url = data['images'][0]
+                        yield ImageResponse(image_url, prompt)
+                    else:
+                        yield ImageResponse("No images found in the response.", prompt)
+                except json.JSONDecodeError:
+                    yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)